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STANDARDIZING BREAST DENSITY ASSESSMENTS

机译:标准化乳房密度评估

摘要

A method, system and computer program product for determining changes in breast density. A generative adversarial network is trained to predict an appearance of a mammogram image for a patient's current examination based on mammogram images assigned labels of a first type of density classification. An appearance of a mammogram image for a patient's current examination is predicted using the generative adversarial network based on a mammogram image(s) obtained from the patient's prior examination assigned labels of the first type of density classification. A comparison is made between the predicted and actual mammogram images for the patient's current examination to determine if there is a difference between scores assigned to the predicted and actual mammogram images, and if so, whether such difference can be attributed to the subjective assessment by different physicians or changes in the standards of density classification or is due to a real change in breast density.
机译:一种确定乳房密度变化的方法,系统和计算机程序产品。训练生成的对抗网络,以基于分配给第一类型密度分类的标签的乳房X射线照片图像,预测用于患者当前检查的乳房X射线照片图像的外观。基于从从患者的先前检查分配的第一类型的密度分类标签获得的乳房X射线照片图像,使用生成对抗网络来预测用于患者当前检查的乳房X射线照片图像的外观。在针对患者当前检查的预测乳房X线照片和实际乳房X线照片之间进行比较,以确定分配给预测乳房X线照片和实际乳房X线照片的分数之间是否存在差异,如果存在,则该差异是否可以归因于不同的主观评估医生或密度分类标准的改变或是由于乳房密度的真正变化。

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